Overview

Brought to you by YData

Dataset statistics

Number of variables18
Number of observations11
Missing cells2
Missing cells (%)1.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory156.0 B

Variable types

Numeric17
Categorical1

Alerts

Normalized Varenicline Cost has constant value "inf" Constant
Normalized Varenicline Cost has 2 (18.2%) missing values Missing
Year has unique values Unique
Value_x has unique values Unique
Value_y has unique values Unique
Net Ingredient Cost of Bupropion (Zyban) has unique values Unique
Tobacco Affordability has unique values Unique
Cessation Success Rate has unique values Unique
Smoking Prevalence has unique values Unique
Normalized Income (Value_x) has unique values Unique
Normalized Cost (Value_y) has unique values Unique
Normalized Bupropion Cost has unique values Unique
Net Ingredient Cost of Varenicline (Champix) has 2 (18.2%) zeros Zeros

Reproduction

Analysis started2024-12-11 08:30:59.121267
Analysis finished2024-12-11 08:31:25.427476
Duration26.31 seconds
Software versionydata-profiling vv4.12.1
Download configurationconfig.json

Variables

Year
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2009
Minimum2004
Maximum2014
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size220.0 B
2024-12-11T14:01:25.587889image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum2004
5-th percentile2004.5
Q12006.5
median2009
Q32011.5
95-th percentile2013.5
Maximum2014
Range10
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.3166248
Coefficient of variation (CV)0.0016508834
Kurtosis-1.2
Mean2009
Median Absolute Deviation (MAD)3
Skewness0
Sum22099
Variance11
MonotonicityStrictly increasing
2024-12-11T14:01:25.706021image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2004 1
9.1%
2005 1
9.1%
2006 1
9.1%
2007 1
9.1%
2008 1
9.1%
2009 1
9.1%
2010 1
9.1%
2011 1
9.1%
2012 1
9.1%
2013 1
9.1%
ValueCountFrequency (%)
2004 1
9.1%
2005 1
9.1%
2006 1
9.1%
2007 1
9.1%
2008 1
9.1%
2009 1
9.1%
2010 1
9.1%
2011 1
9.1%
2012 1
9.1%
2013 1
9.1%
ValueCountFrequency (%)
2014 1
9.1%
2013 1
9.1%
2012 1
9.1%
2011 1
9.1%
2010 1
9.1%
2009 1
9.1%
2008 1
9.1%
2007 1
9.1%
2006 1
9.1%
2005 1
9.1%

Value_x
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6973511 × 1010
Minimum1.2933815 × 1010
Maximum2.0582739 × 1010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size220.0 B
2024-12-11T14:01:25.813705image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum1.2933815 × 1010
5-th percentile1.3753679 × 1010
Q11.5365543 × 1010
median1.725167 × 1010
Q31.8523399 × 1010
95-th percentile2.0073879 × 1010
Maximum2.0582739 × 1010
Range7.648924 × 109
Interquartile range (IQR)3.1578554 × 109

Descriptive statistics

Standard deviation2.3286676 × 109
Coefficient of variation (CV)0.13719422
Kurtosis-0.7746026
Mean1.6973511 × 1010
Median Absolute Deviation (MAD)1.7254173 × 109
Skewness-0.15136462
Sum1.8670862 × 1011
Variance5.422693 × 1018
MonotonicityNot monotonic
2024-12-11T14:01:25.941553image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1.457354298 × 10101
9.1%
1.52048334 × 10101
9.1%
1.552625317 × 10101
9.1%
1.596715047 × 10101
9.1%
2.058273937 × 10101
9.1%
1.725167045 × 10101
9.1%
1.293381541 × 10101
9.1%
1.80567997 × 10101
9.1%
1.828384216 × 10101
9.1%
1.876295527 × 10101
9.1%
ValueCountFrequency (%)
1.293381541 × 10101
9.1%
1.457354298 × 10101
9.1%
1.52048334 × 10101
9.1%
1.552625317 × 10101
9.1%
1.596715047 × 10101
9.1%
1.725167045 × 10101
9.1%
1.80567997 × 10101
9.1%
1.828384216 × 10101
9.1%
1.876295527 × 10101
9.1%
1.956501837 × 10101
9.1%
ValueCountFrequency (%)
2.058273937 × 10101
9.1%
1.956501837 × 10101
9.1%
1.876295527 × 10101
9.1%
1.828384216 × 10101
9.1%
1.80567997 × 10101
9.1%
1.725167045 × 10101
9.1%
1.596715047 × 10101
9.1%
1.552625317 × 10101
9.1%
1.52048334 × 10101
9.1%
1.457354298 × 10101
9.1%

Value_y
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.803087 × 109
Minimum1.7047615 × 109
Maximum1.9385798 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size220.0 B
2024-12-11T14:01:26.045031image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum1.7047615 × 109
5-th percentile1.7089584 × 109
Q11.7400175 × 109
median1.7809266 × 109
Q31.8490681 × 109
95-th percentile1.9271423 × 109
Maximum1.9385798 × 109
Range2.3381833 × 108
Interquartile range (IQR)1.0905054 × 108

Descriptive statistics

Standard deviation79686961
Coefficient of variation (CV)0.04419474
Kurtosis-0.98179744
Mean1.803087 × 109
Median Absolute Deviation (MAD)67319910
Skewness0.45948823
Sum1.9833957 × 1010
Variance6.3500118 × 1015
MonotonicityNot monotonic
2024-12-11T14:01:26.161719image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1938579804 1
9.1%
1915704756 1
9.1%
1849889664 1
9.1%
1832825232 1
9.1%
1848246498 1
9.1%
1780926588 1
9.1%
1769832666 1
9.1%
1704761478 1
9.1%
1735729884 1
9.1%
1744305192 1
9.1%
ValueCountFrequency (%)
1704761478 1
9.1%
1713155346 1
9.1%
1735729884 1
9.1%
1744305192 1
9.1%
1769832666 1
9.1%
1780926588 1
9.1%
1832825232 1
9.1%
1848246498 1
9.1%
1849889664 1
9.1%
1915704756 1
9.1%
ValueCountFrequency (%)
1938579804 1
9.1%
1915704756 1
9.1%
1849889664 1
9.1%
1848246498 1
9.1%
1832825232 1
9.1%
1780926588 1
9.1%
1769832666 1
9.1%
1744305192 1
9.1%
1735729884 1
9.1%
1713155346 1
9.1%
Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.265381 × 108
Minimum72753471
Maximum4.643781 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size220.0 B
2024-12-11T14:01:26.263507image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum72753471
5-th percentile75367908
Q199619065
median1.8571518 × 108
Q33.6949207 × 108
95-th percentile4.4075802 × 108
Maximum4.643781 × 108
Range3.9162463 × 108
Interquartile range (IQR)2.6987301 × 108

Descriptive statistics

Standard deviation1.4916453 × 108
Coefficient of variation (CV)0.65845228
Kurtosis-1.5421502
Mean2.265381 × 108
Median Absolute Deviation (MAD)1.0773284 × 108
Skewness0.54389156
Sum2.4919191 × 109
Variance2.2250056 × 1016
MonotonicityStrictly decreasing
2024-12-11T14:01:26.365760image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
464378103 1
9.1%
417137931 1
9.1%
389010195 1
9.1%
349973946 1
9.1%
193197879 1
9.1%
185715180 1
9.1%
142531893 1
9.1%
109626048 1
9.1%
89612082 1
9.1%
77982345 1
9.1%
ValueCountFrequency (%)
72753471 1
9.1%
77982345 1
9.1%
89612082 1
9.1%
109626048 1
9.1%
142531893 1
9.1%
185715180 1
9.1%
193197879 1
9.1%
349973946 1
9.1%
389010195 1
9.1%
417137931 1
9.1%
ValueCountFrequency (%)
464378103 1
9.1%
417137931 1
9.1%
389010195 1
9.1%
349973946 1
9.1%
193197879 1
9.1%
185715180 1
9.1%
142531893 1
9.1%
109626048 1
9.1%
89612082 1
9.1%
77982345 1
9.1%
Distinct10
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7605733 × 109
Minimum0
Maximum3.0195846 × 109
Zeros2
Zeros (%)18.2%
Negative0
Negative (%)0.0%
Memory size220.0 B
2024-12-11T14:01:26.469269image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18.9652651 × 108
median2.1317578 × 109
Q32.659243 × 109
95-th percentile2.9695947 × 109
Maximum3.0195846 × 109
Range3.0195846 × 109
Interquartile range (IQR)1.7627165 × 109

Descriptive statistics

Standard deviation1.1833781 × 109
Coefficient of variation (CV)0.67215496
Kurtosis-1.0707142
Mean1.7605733 × 109
Median Absolute Deviation (MAD)5.6706237 × 108
Skewness-0.7807712
Sum1.9366307 × 1010
Variance1.4003838 × 1018
MonotonicityNot monotonic
2024-12-11T14:01:26.594721image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 2
18.2%
68516280 1
9.1%
1957582242 1
9.1%
2226238182 1
9.1%
2698820208 1
9.1%
3019584582 1
9.1%
2919604905 1
9.1%
2619665874 1
9.1%
2131757838 1
9.1%
1724536737 1
9.1%
ValueCountFrequency (%)
0 2
18.2%
68516280 1
9.1%
1724536737 1
9.1%
1957582242 1
9.1%
2131757838 1
9.1%
2226238182 1
9.1%
2619665874 1
9.1%
2698820208 1
9.1%
2919604905 1
9.1%
3019584582 1
9.1%
ValueCountFrequency (%)
3019584582 1
9.1%
2919604905 1
9.1%
2698820208 1
9.1%
2619665874 1
9.1%
2226238182 1
9.1%
2131757838 1
9.1%
1957582242 1
9.1%
1724536737 1
9.1%
68516280 1
9.1%
0 2
18.2%

16 and Over
Real number (ℝ)

Distinct9
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.151515
Minimum18.666667
Maximum24.666667
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size220.0 B
2024-12-11T14:01:26.716456image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum18.666667
5-th percentile19
Q120.166667
median21
Q321.666667
95-th percentile24.333333
Maximum24.666667
Range6
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.8279535
Coefficient of variation (CV)0.086421872
Kurtosis0.27896231
Mean21.151515
Median Absolute Deviation (MAD)1
Skewness0.86406498
Sum232.66667
Variance3.3414141
MonotonicityNot monotonic
2024-12-11T14:01:26.811527image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
21 2
18.2%
20.33333333 2
18.2%
24.66666667 1
9.1%
24 1
9.1%
22 1
9.1%
21.33333333 1
9.1%
20 1
9.1%
19.33333333 1
9.1%
18.66666667 1
9.1%
ValueCountFrequency (%)
18.66666667 1
9.1%
19.33333333 1
9.1%
20 1
9.1%
20.33333333 2
18.2%
21 2
18.2%
21.33333333 1
9.1%
22 1
9.1%
24 1
9.1%
24.66666667 1
9.1%
ValueCountFrequency (%)
24.66666667 1
9.1%
24 1
9.1%
22 1
9.1%
21.33333333 1
9.1%
21 2
18.2%
20.33333333 2
18.2%
20 1
9.1%
19.33333333 1
9.1%
18.66666667 1
9.1%

16-24
Real number (ℝ)

Distinct9
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.060606
Minimum22.333333
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size220.0 B
2024-12-11T14:01:26.902128image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum22.333333
5-th percentile22.666667
Q123
median25
Q326.166667
95-th percentile28.833333
Maximum29
Range6.6666667
Interquartile range (IQR)3.1666667

Descriptive statistics

Standard deviation2.2891929
Coefficient of variation (CV)0.09134627
Kurtosis-0.66837786
Mean25.060606
Median Absolute Deviation (MAD)2
Skewness0.64400726
Sum275.66667
Variance5.240404
MonotonicityNot monotonic
2024-12-11T14:01:26.997703image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
23 3
27.3%
29 1
 
9.1%
28.66666667 1
 
9.1%
25.33333333 1
 
9.1%
26 1
 
9.1%
26.33333333 1
 
9.1%
25 1
 
9.1%
24 1
 
9.1%
22.33333333 1
 
9.1%
ValueCountFrequency (%)
22.33333333 1
 
9.1%
23 3
27.3%
24 1
 
9.1%
25 1
 
9.1%
25.33333333 1
 
9.1%
26 1
 
9.1%
26.33333333 1
 
9.1%
28.66666667 1
 
9.1%
29 1
 
9.1%
ValueCountFrequency (%)
29 1
 
9.1%
28.66666667 1
 
9.1%
26.33333333 1
 
9.1%
26 1
 
9.1%
25.33333333 1
 
9.1%
25 1
 
9.1%
24 1
 
9.1%
23 3
27.3%
22.33333333 1
 
9.1%

25-34
Real number (ℝ)

Distinct9
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.030303
Minimum23.333333
Maximum31.333333
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size220.0 B
2024-12-11T14:01:27.092097image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum23.333333
5-th percentile23.666667
Q125.333333
median26.333333
Q328.5
95-th percentile31.333333
Maximum31.333333
Range8
Interquartile range (IQR)3.1666667

Descriptive statistics

Standard deviation2.7303013
Coefficient of variation (CV)0.10100891
Kurtosis-0.77861833
Mean27.030303
Median Absolute Deviation (MAD)1.3333333
Skewness0.5226676
Sum297.33333
Variance7.4545455
MonotonicityNot monotonic
2024-12-11T14:01:27.221669image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
31.33333333 2
18.2%
27.33333333 2
18.2%
29.66666667 1
9.1%
26 1
9.1%
25.66666667 1
9.1%
26.33333333 1
9.1%
23.33333333 1
9.1%
25 1
9.1%
24 1
9.1%
ValueCountFrequency (%)
23.33333333 1
9.1%
24 1
9.1%
25 1
9.1%
25.66666667 1
9.1%
26 1
9.1%
26.33333333 1
9.1%
27.33333333 2
18.2%
29.66666667 1
9.1%
31.33333333 2
18.2%
ValueCountFrequency (%)
31.33333333 2
18.2%
29.66666667 1
9.1%
27.33333333 2
18.2%
26.33333333 1
9.1%
26 1
9.1%
25.66666667 1
9.1%
25 1
9.1%
24 1
9.1%
23.33333333 1
9.1%

35-49
Real number (ℝ)

Distinct8
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.424242
Minimum21
Maximum29.333333
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size220.0 B
2024-12-11T14:01:27.334560image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile21.5
Q123.5
median24
Q325
95-th percentile28.333333
Maximum29.333333
Range8.3333333
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation2.3194392
Coefficient of variation (CV)0.09496463
Kurtosis1.0867814
Mean24.424242
Median Absolute Deviation (MAD)1
Skewness0.84331717
Sum268.66667
Variance5.379798
MonotonicityNot monotonic
2024-12-11T14:01:27.426750image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
24 4
36.4%
29.33333333 1
 
9.1%
27.33333333 1
 
9.1%
25.33333333 1
 
9.1%
24.66666667 1
 
9.1%
23 1
 
9.1%
22 1
 
9.1%
21 1
 
9.1%
ValueCountFrequency (%)
21 1
 
9.1%
22 1
 
9.1%
23 1
 
9.1%
24 4
36.4%
24.66666667 1
 
9.1%
25.33333333 1
 
9.1%
27.33333333 1
 
9.1%
29.33333333 1
 
9.1%
ValueCountFrequency (%)
29.33333333 1
 
9.1%
27.33333333 1
 
9.1%
25.33333333 1
 
9.1%
24.66666667 1
 
9.1%
24 4
36.4%
23 1
 
9.1%
22 1
 
9.1%
21 1
 
9.1%

50-59
Real number (ℝ)

Distinct10
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.151515
Minimum19
Maximum24.333333
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size220.0 B
2024-12-11T14:01:27.515526image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile19
Q119.666667
median21
Q322
95-th percentile24.166667
Maximum24.333333
Range5.3333333
Interquartile range (IQR)2.3333333

Descriptive statistics

Standard deviation1.8460988
Coefficient of variation (CV)0.087279743
Kurtosis-0.60023961
Mean21.151515
Median Absolute Deviation (MAD)1.3333333
Skewness0.57393476
Sum232.66667
Variance3.4080808
MonotonicityNot monotonic
2024-12-11T14:01:27.627360image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
19 2
18.2%
24.33333333 1
9.1%
24 1
9.1%
22.33333333 1
9.1%
21.33333333 1
9.1%
21.66666667 1
9.1%
21 1
9.1%
20 1
9.1%
20.66666667 1
9.1%
19.33333333 1
9.1%
ValueCountFrequency (%)
19 2
18.2%
19.33333333 1
9.1%
20 1
9.1%
20.66666667 1
9.1%
21 1
9.1%
21.33333333 1
9.1%
21.66666667 1
9.1%
22.33333333 1
9.1%
24 1
9.1%
24.33333333 1
9.1%
ValueCountFrequency (%)
24.33333333 1
9.1%
24 1
9.1%
22.33333333 1
9.1%
21.66666667 1
9.1%
21.33333333 1
9.1%
21 1
9.1%
20.66666667 1
9.1%
20 1
9.1%
19.33333333 1
9.1%
19 2
18.2%

60 and Over
Real number (ℝ)

Distinct8
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.757576
Minimum11
Maximum14.333333
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size220.0 B
2024-12-11T14:01:27.720603image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile11.166667
Q112.333333
median12.666667
Q313.333333
95-th percentile14.166667
Maximum14.333333
Range3.3333333
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.0229685
Coefficient of variation (CV)0.080185183
Kurtosis-0.32283732
Mean12.757576
Median Absolute Deviation (MAD)0.33333333
Skewness-0.21261965
Sum140.33333
Variance1.0464646
MonotonicityNot monotonic
2024-12-11T14:01:27.820017image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
12.33333333 2
18.2%
12.66666667 2
18.2%
13 2
18.2%
14.33333333 1
9.1%
13.66666667 1
9.1%
14 1
9.1%
11 1
9.1%
11.33333333 1
9.1%
ValueCountFrequency (%)
11 1
9.1%
11.33333333 1
9.1%
12.33333333 2
18.2%
12.66666667 2
18.2%
13 2
18.2%
13.66666667 1
9.1%
14 1
9.1%
14.33333333 1
9.1%
ValueCountFrequency (%)
14.33333333 1
9.1%
14 1
9.1%
13.66666667 1
9.1%
13 2
18.2%
12.66666667 2
18.2%
12.33333333 2
18.2%
11.33333333 1
9.1%
11 1
9.1%

Tobacco Affordability
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.4539594
Minimum7.3079312
Maximum11.420458
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size220.0 B
2024-12-11T14:01:27.931122image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum7.3079312
5-th percentile7.4127851
Q18.1650048
median9.6869071
Q310.674337
95-th percentile11.278409
Maximum11.420458
Range4.1125266
Interquartile range (IQR)2.5093317

Descriptive statistics

Standard deviation1.5245519
Coefficient of variation (CV)0.16126067
Kurtosis-1.7564581
Mean9.4539594
Median Absolute Deviation (MAD)1.2938373
Skewness-0.16950064
Sum103.99355
Variance2.3242584
MonotonicityNot monotonic
2024-12-11T14:01:28.023122image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
7.517638916 1
9.1%
7.936939839 1
9.1%
8.393069852 1
9.1%
8.711769235 1
9.1%
11.13636054 1
9.1%
9.686907121 1
9.1%
7.307931228 1
9.1%
10.59198013 1
9.1%
10.53380617 1
9.1%
10.7566929 1
9.1%
ValueCountFrequency (%)
7.307931228 1
9.1%
7.517638916 1
9.1%
7.936939839 1
9.1%
8.393069852 1
9.1%
8.711769235 1
9.1%
9.686907121 1
9.1%
10.53380617 1
9.1%
10.59198013 1
9.1%
10.7566929 1
9.1%
11.13636054 1
9.1%
ValueCountFrequency (%)
11.42045782 1
9.1%
11.13636054 1
9.1%
10.7566929 1
9.1%
10.59198013 1
9.1%
10.53380617 1
9.1%
9.686907121 1
9.1%
8.711769235 1
9.1%
8.393069852 1
9.1%
7.936939839 1
9.1%
7.517638916 1
9.1%

Cessation Success Rate
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97132366
Minimum17380747
Maximum1.5551393 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size220.0 B
2024-12-11T14:01:28.135060image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum17380747
5-th percentile18103443
Q158540031
median1.1341107 × 108
Q31.35301 × 108
95-th percentile1.5348774 × 108
Maximum1.5551393 × 108
Range1.3813318 × 108
Interquartile range (IQR)76760972

Descriptive statistics

Standard deviation53220752
Coefficient of variation (CV)0.54791986
Kurtosis-1.0396282
Mean97132366
Median Absolute Deviation (MAD)23947763
Skewness-0.76964329
Sum1.068456 × 109
Variance2.8324484 × 1015
MonotonicityNot monotonic
2024-12-11T14:01:28.245552image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
18826139.31 1
9.1%
17380747.12 1
9.1%
20796657.95 1
9.1%
109883628 1
9.1%
113411065.4 1
9.1%
137358828 1
9.1%
155513925 1
9.1%
151461547.7 1
9.1%
133243178.2 1
9.1%
114296906 1
9.1%
ValueCountFrequency (%)
17380747.12 1
9.1%
18826139.31 1
9.1%
20796657.95 1
9.1%
96283404 1
9.1%
109883628 1
9.1%
113411065.4 1
9.1%
114296906 1
9.1%
133243178.2 1
9.1%
137358828 1
9.1%
151461547.7 1
9.1%
ValueCountFrequency (%)
155513925 1
9.1%
151461547.7 1
9.1%
137358828 1
9.1%
133243178.2 1
9.1%
114296906 1
9.1%
113411065.4 1
9.1%
109883628 1
9.1%
96283404 1
9.1%
20796657.95 1
9.1%
18826139.31 1
9.1%

Smoking Prevalence
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.42424
Minimum98.333333
Maximum128.33333
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size220.0 B
2024-12-11T14:01:28.345268image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum98.333333
5-th percentile99.333333
Q1104.66667
median109.66667
Q3113.5
95-th percentile126.66667
Maximum128.33333
Range30
Interquartile range (IQR)8.8333333

Descriptive statistics

Standard deviation9.4435056
Coefficient of variation (CV)0.085520221
Kurtosis0.060697004
Mean110.42424
Median Absolute Deviation (MAD)5.3333333
Skewness0.81755243
Sum1214.6667
Variance89.179798
MonotonicityNot monotonic
2024-12-11T14:01:28.436765image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
128.3333333 1
9.1%
125 1
9.1%
115 1
9.1%
109.6666667 1
9.1%
112 1
9.1%
110.3333333 1
9.1%
106.3333333 1
9.1%
103.3333333 1
9.1%
106 1
9.1%
100.3333333 1
9.1%
ValueCountFrequency (%)
98.33333333 1
9.1%
100.3333333 1
9.1%
103.3333333 1
9.1%
106 1
9.1%
106.3333333 1
9.1%
109.6666667 1
9.1%
110.3333333 1
9.1%
112 1
9.1%
115 1
9.1%
125 1
9.1%
ValueCountFrequency (%)
128.3333333 1
9.1%
125 1
9.1%
115 1
9.1%
112 1
9.1%
110.3333333 1
9.1%
109.6666667 1
9.1%
106.3333333 1
9.1%
106 1
9.1%
103.3333333 1
9.1%
100.3333333 1
9.1%

Normalized Income (Value_x)
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1646798
Minimum0.887486
Maximum1.412336
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size220.0 B
2024-12-11T14:01:28.531043image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0.887486
5-th percentile0.943743
Q11.0543451
median1.1837664
Q31.2710292
95-th percentile1.3774193
Maximum1.412336
Range0.52485
Interquartile range (IQR)0.21668413

Descriptive statistics

Standard deviation0.15978734
Coefficient of variation (CV)0.13719422
Kurtosis-0.7746026
Mean1.1646798
Median Absolute Deviation (MAD)0.11839381
Skewness-0.15136462
Sum12.811478
Variance0.025531993
MonotonicityNot monotonic
2024-12-11T14:01:28.631437image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 1
9.1%
1.043317567 1
9.1%
1.065372586 1
9.1%
1.095625854 1
9.1%
1.412335998 1
9.1%
1.183766396 1
9.1%
0.8874860032 1
9.1%
1.239012348 1
9.1%
1.254591433 1
9.1%
1.287466974 1
9.1%
ValueCountFrequency (%)
0.8874860032 1
9.1%
1 1
9.1%
1.043317567 1
9.1%
1.065372586 1
9.1%
1.095625854 1
9.1%
1.183766396 1
9.1%
1.239012348 1
9.1%
1.254591433 1
9.1%
1.287466974 1
9.1%
1.342502534 1
9.1%
ValueCountFrequency (%)
1.412335998 1
9.1%
1.342502534 1
9.1%
1.287466974 1
9.1%
1.254591433 1
9.1%
1.239012348 1
9.1%
1.183766396 1
9.1%
1.095625854 1
9.1%
1.065372586 1
9.1%
1.043317567 1
9.1%
1 1
9.1%

Normalized Cost (Value_y)
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.93010719
Minimum0.87938679
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size220.0 B
2024-12-11T14:01:28.725902image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0.87938679
5-th percentile0.88155175
Q10.89757333
median0.91867592
Q30.95382613
95-th percentile0.99410005
Maximum1
Range0.12061321
Interquartile range (IQR)0.056252801

Descriptive statistics

Standard deviation0.041105845
Coefficient of variation (CV)0.04419474
Kurtosis-0.98179744
Mean0.93010719
Median Absolute Deviation (MAD)0.034726406
Skewness0.45948823
Sum10.231179
Variance0.0016896905
MonotonicityNot monotonic
2024-12-11T14:01:28.837443image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 1
9.1%
0.9882000999 1
9.1%
0.9542499412 1
9.1%
0.9454473983 1
9.1%
0.9534023279 1
9.1%
0.9186759216 1
9.1%
0.9129532157 1
9.1%
0.8793867936 1
9.1%
0.895361584 1
9.1%
0.8997850841 1
9.1%
ValueCountFrequency (%)
0.8793867936 1
9.1%
0.8837166994 1
9.1%
0.895361584 1
9.1%
0.8997850841 1
9.1%
0.9129532157 1
9.1%
0.9186759216 1
9.1%
0.9454473983 1
9.1%
0.9534023279 1
9.1%
0.9542499412 1
9.1%
0.9882000999 1
9.1%
ValueCountFrequency (%)
1 1
9.1%
0.9882000999 1
9.1%
0.9542499412 1
9.1%
0.9534023279 1
9.1%
0.9454473983 1
9.1%
0.9186759216 1
9.1%
0.9129532157 1
9.1%
0.8997850841 1
9.1%
0.895361584 1
9.1%
0.8837166994 1
9.1%

Normalized Bupropion Cost
Real number (ℝ)

Unique 

Distinct11
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.48783114
Minimum0.15666861
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size220.0 B
2024-12-11T14:01:28.938049image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Quantile statistics

Minimum0.15666861
5-th percentile0.16229858
Q10.21452145
median0.39992235
Q30.79567074
95-th percentile0.94913609
Maximum1
Range0.84333139
Interquartile range (IQR)0.58114929

Descriptive statistics

Standard deviation0.32121353
Coefficient of variation (CV)0.65845228
Kurtosis-1.5421502
Mean0.48783114
Median Absolute Deviation (MAD)0.23199379
Skewness0.54389156
Sum5.3661425
Variance0.10317813
MonotonicityStrictly decreasing
2024-12-11T14:01:29.034302image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 1
9.1%
0.8982721802 1
9.1%
0.8377014172 1
9.1%
0.7536400699 1
9.1%
0.4160357212 1
9.1%
0.3999223452 1
9.1%
0.3069306931 1
9.1%
0.2360706659 1
9.1%
0.1929722384 1
9.1%
0.1679285576 1
9.1%
ValueCountFrequency (%)
0.156668608 1
9.1%
0.1679285576 1
9.1%
0.1929722384 1
9.1%
0.2360706659 1
9.1%
0.3069306931 1
9.1%
0.3999223452 1
9.1%
0.4160357212 1
9.1%
0.7536400699 1
9.1%
0.8377014172 1
9.1%
0.8982721802 1
9.1%
ValueCountFrequency (%)
1 1
9.1%
0.8982721802 1
9.1%
0.8377014172 1
9.1%
0.7536400699 1
9.1%
0.4160357212 1
9.1%
0.3999223452 1
9.1%
0.3069306931 1
9.1%
0.2360706659 1
9.1%
0.1929722384 1
9.1%
0.1679285576 1
9.1%

Normalized Varenicline Cost
Categorical

Constant  Missing 

Distinct1
Distinct (%)11.1%
Missing2
Missing (%)18.2%
Memory size712.0 B
inf

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters27
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowinf
2nd rowinf
3rd rowinf
4th rowinf
5th rowinf

Common Values

ValueCountFrequency (%)
inf 9
81.8%
(Missing) 2
 
18.2%

Length

2024-12-11T14:01:29.134965image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-12-11T14:01:29.232891image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
ValueCountFrequency (%)
inf 9
100.0%

Most occurring characters

ValueCountFrequency (%)
i 9
33.3%
n 9
33.3%
f 9
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 27
100.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 9
33.3%
n 9
33.3%
f 9
33.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 27
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 9
33.3%
n 9
33.3%
f 9
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 27
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 9
33.3%
n 9
33.3%
f 9
33.3%

Interactions

2024-12-11T14:01:23.410301image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:00:59.649311image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:01.133352image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:02.746763image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:04.206881image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:06.036219image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:07.530175image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:08.983974image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:10.381040image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:12.118892image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:13.480734image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:14.813975image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:16.260945image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:17.572612image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:19.181206image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:20.555297image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:21.981906image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:23.486188image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:00:59.745038image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:01.222960image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:02.830650image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:04.326604image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:06.128139image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:07.617236image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:09.064168image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:10.480047image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:12.195947image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:13.555292image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:14.903433image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:16.334614image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:17.656084image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:19.257622image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:20.636206image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:22.059905image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:23.570814image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:00:59.828033image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:01.312965image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:02.920003image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:04.421602image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:06.223881image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:07.708151image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:09.151410image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:10.582678image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:12.280929image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:13.638159image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:14.991937image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:16.415239image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:17.744899image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
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2024-12-11T14:01:15.981017image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:17.346410image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:18.932495image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:20.320794image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:21.743789image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:23.149008image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:24.845620image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:00.957604image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:02.562906image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:04.033895image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:05.838341image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:07.345879image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:08.816044image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:10.207246image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:11.944437image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:13.335385image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:14.656024image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:16.064720image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:17.419779image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:19.016519image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:20.399168image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:21.819674image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:23.230812image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:24.935065image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:01.054636image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:02.657833image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:04.123452image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:05.939870image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:07.444152image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:08.908351image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:10.296913image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:12.034442image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:13.411571image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:14.740062image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:16.182793image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:17.501391image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:19.103832image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:20.482049image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:21.901752image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
2024-12-11T14:01:23.323399image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/

Missing values

2024-12-11T14:01:25.062444image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
A simple visualization of nullity by column.
2024-12-11T14:01:25.305014image/svg+xmlMatplotlib v3.9.1, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

YearValue_xValue_yNet Ingredient Cost of Bupropion (Zyban)Net Ingredient Cost of Varenicline (Champix)16 and Over16-2425-3435-4950-5960 and OverTobacco AffordabilityCessation Success RateSmoking PrevalenceNormalized Income (Value_x)Normalized Cost (Value_y)Normalized Bupropion CostNormalized Varenicline Cost
020041.457354e+101.938580e+094643781030.000000e+0024.66666729.00000031.33333329.33333324.33333314.3333337.5176391.882614e+07128.3333331.0000001.0000001.000000NaN
120051.520483e+101.915705e+094171379310.000000e+0024.00000028.66666731.33333327.33333324.00000013.6666677.9369401.738075e+07125.0000001.0433180.9882000.898272NaN
220061.552625e+101.849890e+093890101956.851628e+0722.00000025.33333329.66666725.33333322.33333312.3333338.3930702.079666e+07115.0000001.0653730.9542500.837701inf
320071.596715e+101.832825e+093499739461.957582e+0921.00000026.00000026.00000024.00000021.33333312.3333338.7117691.098836e+08109.6666671.0956260.9454470.753640inf
420082.058274e+101.848246e+091931978792.226238e+0921.33333326.33333327.33333324.00000021.66666712.66666711.1363611.134111e+08112.0000001.4123360.9534020.416036inf
520091.725167e+101.780927e+091857151802.698820e+0921.00000025.00000025.66666724.66666721.00000014.0000009.6869071.373588e+08110.3333331.1837660.9186760.399922inf
620101.293382e+101.769833e+091425318933.019585e+0920.33333323.00000026.33333324.00000020.00000013.0000007.3079311.555139e+08106.3333330.8874860.9129530.306931inf
720111.805680e+101.704761e+091096260482.919605e+0920.00000024.00000023.33333324.00000019.00000013.00000010.5919801.514615e+08103.3333331.2390120.8793870.236071inf
820121.828384e+101.735730e+09896120822.619666e+0920.33333322.33333327.33333323.00000020.66666712.66666710.5338061.332432e+08106.0000001.2545910.8953620.192972inf
920131.876296e+101.744305e+09779823452.131758e+0919.33333323.00000025.00000022.00000019.33333311.00000010.7566931.142969e+08100.3333331.2874670.8997850.167929inf
YearValue_xValue_yNet Ingredient Cost of Bupropion (Zyban)Net Ingredient Cost of Varenicline (Champix)16 and Over16-2425-3435-4950-5960 and OverTobacco AffordabilityCessation Success RateSmoking PrevalenceNormalized Income (Value_x)Normalized Cost (Value_y)Normalized Bupropion CostNormalized Varenicline Cost
120051.520483e+101.915705e+094171379310.000000e+0024.00000028.66666731.33333327.33333324.00000013.6666677.9369401.738075e+07125.0000001.0433180.9882000.898272NaN
220061.552625e+101.849890e+093890101956.851628e+0722.00000025.33333329.66666725.33333322.33333312.3333338.3930702.079666e+07115.0000001.0653730.9542500.837701inf
320071.596715e+101.832825e+093499739461.957582e+0921.00000026.00000026.00000024.00000021.33333312.3333338.7117691.098836e+08109.6666671.0956260.9454470.753640inf
420082.058274e+101.848246e+091931978792.226238e+0921.33333326.33333327.33333324.00000021.66666712.66666711.1363611.134111e+08112.0000001.4123360.9534020.416036inf
520091.725167e+101.780927e+091857151802.698820e+0921.00000025.00000025.66666724.66666721.00000014.0000009.6869071.373588e+08110.3333331.1837660.9186760.399922inf
620101.293382e+101.769833e+091425318933.019585e+0920.33333323.00000026.33333324.00000020.00000013.0000007.3079311.555139e+08106.3333330.8874860.9129530.306931inf
720111.805680e+101.704761e+091096260482.919605e+0920.00000024.00000023.33333324.00000019.00000013.00000010.5919801.514615e+08103.3333331.2390120.8793870.236071inf
820121.828384e+101.735730e+09896120822.619666e+0920.33333322.33333327.33333323.00000020.66666712.66666710.5338061.332432e+08106.0000001.2545910.8953620.192972inf
920131.876296e+101.744305e+09779823452.131758e+0919.33333323.00000025.00000022.00000019.33333311.00000010.7566931.142969e+08100.3333331.2874670.8997850.167929inf
1020141.956502e+101.713155e+09727534711.724537e+0918.66666723.00000024.00000021.00000019.00000011.33333311.4204589.628340e+0798.3333331.3425030.8837170.156669inf